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A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson's Disease EEG Classification., , and . GlobalSIP, page 1-4. IEEE, (2019)Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey., , , , , and . CoRR, (2021)Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders., , , and . CoRR, (2022)Connectivity-Based Brain Parcellation for Parkinson's Disease., , , , , , and . IEEE Trans. Biomed. Eng., 70 (5): 1539-1552 (May 2023)A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data., , , , , , , , , and 1 other author(s). Sensors, 21 (10): 3316 (2021)Automatic labeling of Parkinson's Disease gait videos with weak supervision., , , , , , , and . Medical Image Anal., (October 2023)Introduction to the Issue on fMRI Analysis for Human Brain Mapping., , , , , , and . IEEE J. Sel. Top. Signal Process., 2 (6): 813-816 (2008)A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks., , , , and . IEEE J. Sel. Top. Signal Process., 10 (7): 1172-1181 (2016)Occlusion-robust FAU recognition by mining latent space of masked autoencoders., , , and . Neurocomputing, (February 2024)Connectivity-based parcellation of functional sub-regions from brain fMRI signals., , , and . GlobalSIP, page 933-937. IEEE, (2017)